OmniVera
Data Quality+
DATA QUALITY+
Ingest Anything. Trust Everything.
OmniVera Data Quality+ provides organizations advanced normalization, validation, enrichment, and quality enforcement capabilities that operate on top of the OmniVera Health Data Platform, ensuring data is high-quality and fit for operational use, analytics, and compliance.
It adds a layer of knowledge interoperability to the Health Data Platform’s interoperable data foundation extending its baseline capabilities. Standards like Clinical Quality Language (CQL) along with FHIR enable meaningful sharing of data making it possible to maintain consistency and quality in the data layer across fragmented systems.
Data Quality+ supports proactive issue detection, continuous quality improvement, and PriorAuth workflows like CRD (Coverage Requirements Discovery) and DTR (Documentation, Templates and Rules) where knowledge that maintains clinical context is exchanged back and forth between payers and providers.
Why Data Quality Breaks Down at Scale
Healthcare data is collected and stored in a variety of formats, which makes validating quality rules across data-sets challenging. Essential health data saved in narrative documents such as CDAs and C-CDAs, claims reports, patient summaries etc. are often missing, un-validated and not searchable across most organizations.This disables the meaningful and consistent sharing of data as it is exchanged, and quality enforcement remains burdensome and fragmented. Many organizations implement data quality initiatives as an add-on or reactively, after data has been extracted and exchanged, which has resulted in inconsistency and higher risk is accurate and appropriate use.
What The Data Quality+ Makes Possible
Data quality can no longer be an assumption. DataQuality+ is a quality enrichment layer applied as data is ingested. Advanced normalization, validation, enrichment, and quality enforcement is delivered on top of the OmniVera Health Data Platform. With OmniVera DataQuality+ organizations can:
Advanced data quality is enforced at the time data is ingested, rather through post-processing or reporting. DataQuality+ is a process of data enrichment and validation applied atop the Health Data Platform transforming fragmented inputs—HL7 v2, C-CDA, claims, documents, APIs, extracts, and third-party systems—into governed FHIR resources. The enrichment processes include normalization, advanced semantic alignment, and validation uniformly across the entire dataset. Data is no longer “assumed” to be usable; it is proven to be fit for use and scale.
Organizations unify all data, including CDAs, into a single computable layer before analytics, automation, or compliance workflows begin.
Once data is standardized as FHIR-native resources, Data Quality+ enables the consistent execution of computable clinical logic using Clinical Quality Language (CQL) HL7’s standard for computable clinical logic. This ensures high-quality, validated source data using consistent governance logic is available for any downstream initiative, eliminating conflicting interpretations and redundant validation efforts.
Prior authorization, quality measurement, analytics, and compliance efforts all operate with confidence from the same validated clinical data, without the need to reprocess.
Data quality is embedded into the Health Data Platform’s architecture, not added as an external control. Master Data Management (MDM) and identity resolution create and maintain Golden Records by identifying, matching, and merging disparate records across sources. With MegaScale, near-infinite data capacity allows quality enforcement on large data-sets to scale without ceilings or re-architecture. Document transformation and structured enrichment ensure clinical data remains high quality and computable as volume grows.
Organizations achieve both planetary-scale performance and complete confidence that healthcare data is comprehensive, error-free, and fit for operational use.
Once data is standardized as FHIR-native resources, Data Quality+ enables the consistent execution of computable clinical logic using Clinical Quality Language (CQL) HL7’s standard for computable clinical logic. This ensures high-quality, validated source data using consistent governance logic is available for any downstream initiative, eliminating conflicting interpretations and redundant validation efforts.
Prior authorization, quality measurement, analytics, and compliance efforts all operate with confidence from the same validated clinical data, without the need to reprocess.
Trust is in The Data
Data Quality+ Capabilities
The following capabilities are unlocked with Data Quality+ layered atop the Health Data Platform:
Master Data Management (MDM) allows healthcare organizations to maintain links between source records and its real-life representation known as the Golden Record. MDM goes beyond patient identifiers, aggregating all relevant patient data into a structured FHIR-native source-of-truth. Organizations maintain an integrated, comprehensive and actionable patient record that is both cost-effective and easy to manage.
Built-in support for SNOMED CT, LOINC, RxNorm, ICD-10, and other standard code systems with FHIR ConceptMap management and deterministic $translate operations for rules-based terminology mapping. Advanced AI-powered mapping for high-volume clinical data is available in Data Quality+.
C-CDA (Consolidated Clinical Document Architecture) and CDAs are transformed into FHIR resources to capture, search access, and share required patient information in a consistent manner maintaining clinical context. Bidirectional transformations are performed between C-CDA 2.1 and FHIR R4.
Explore OmniVera
FHIR-native data foundation and advanced governed access capabilities are available with OmniVera Health Data Platform and Data Access+.
Speak with Our Team
See how Data Quality+ powers your modernization strategy with clarity, consistency, and confidence.